Sravanti Addepalli

37 papers A* 12B 1Journal 19Unranked 5

Year	Rank	Type	Title / Venue / Authors
2025	A*	`conf`	Does Safety Training of LLMs Generalize to Semantically Related Natural Prompts? ICLR Sravanti Addepalli, Yerram Varun, Arun Suggala, Karthikeyan Shanmugam, Prateek Jain
2025	J	`jnl`	Robust Reward Modeling via Causal Rubrics. CoRR Pragya Srivastava, Harman Singh, Rahul Madhavan, Gandharv Patil, Sravanti Addepalli, Arun Suggala, Rengarajan Aravamudhan, Soumya Sharma, Anirban Laha, Aravindan Raghuveer, Karthikeyan Shanmugam, Doina Precup
2024	J	`jnl`	Does Safety Training of LLMs Generalize to Semantically Related Natural Prompts? CoRR Sravanti Addepalli, Yerram Varun, Arun Suggala, Karthikeyan Shanmugam, Prateek Jain
2024	A*	`conf`	Leveraging Vision-Language Models for Improving Domain Generalization in Image Classification. CVPR Sravanti Addepalli, Ashish Ramayee Asokan, Lakshay Sharma, R. Venkatesh Babu
2024	J	`jnl`	ProFeAT: Projected Feature Adversarial Training for Self-Supervised Learning of Robust Representations. CoRR Sravanti Addepalli, Priyam Dey, R. Venkatesh Babu
2024	J	`jnl`	ProFeAT: Projected Feature Adversarial Training for Self-Supervised Learning of Robust Representations. Trans. Mach. Learn. Res. Sravanti Addepalli, Priyam Dey, Venkatesh Babu Radhakrishnan
2024	A*	`conf`	Time-Reversal Provides Unsupervised Feedback to LLMs. NeurIPS Yerram Varun, Rahul Madhavan, Sravanti Addepalli, Arun Suggala, Karthikeyan Shanmugam, Prateek Jain
2024	J	`jnl`	Time-Reversal Provides Unsupervised Feedback to LLMs. CoRR Yerram Varun, Rahul Madhavan, Sravanti Addepalli, Arun Suggala, Karthikeyan Shanmugam, Prateek Jain
2023	J	`jnl`	Boosting Adversarial Robustness using Feature Level Stochastic Smoothing. CoRR Sravanti Addepalli, Samyak Jain, Gaurang Sriramanan, R. Venkatesh Babu
2023	—	`conf`	Certified Adversarial Robustness Within Multiple Perturbation Bounds. CVPR Workshops Soumalya Nandi, Sravanti Addepalli, Harsh Rangwani, R. Venkatesh Babu
2023	J	`jnl`	Certified Adversarial Robustness Within Multiple Perturbation Bounds. CoRR Soumalya Nandi, Sravanti Addepalli, Harsh Rangwani, R. Venkatesh Babu
2023	A*	`conf`	DART: Diversify-Aggregate-Repeat Training Improves Generalization of Neural Networks. CVPR Samyak Jain, Sravanti Addepalli, Pawan Kumar Sahu, Priyam Dey, R. Venkatesh Babu
2023	J	`jnl`	DART: Diversify-Aggregate-Repeat Training Improves Generalization of Neural Networks. CoRR Samyak Jain, Sravanti Addepalli, Pawan Kumar Sahu, Priyam Dey, R. Venkatesh Babu
2023	J	`jnl`	Distilling from Vision-Language Models for Improved OOD Generalization in Vision Tasks. CoRR Sravanti Addepalli, Ashish Ramayee Asokan, Lakshay Sharma, R. Venkatesh Babu
2023	A*	`conf`	Feature Reconstruction From Outputs Can Mitigate Simplicity Bias in Neural Networks. ICLR Sravanti Addepalli, Anshul Nasery, Venkatesh Babu Radhakrishnan, Praneeth Netrapalli, Prateek Jain
2023	A*	`conf`	RMLVQA: A Margin Loss Approach For Visual Question Answering with Language Biases. CVPR Abhipsa Basu, Sravanti Addepalli, R. Venkatesh Babu
2022	J	`jnl`	DAFT: Distilling Adversarially Fine-tuned Models for Better OOD Generalization. CoRR Anshul Nasery, Sravanti Addepalli, Praneeth Netrapalli, Prateek Jain
2022	A*	`conf`	Efficient and Effective Augmentation Strategy for Adversarial Training. NeurIPS Sravanti Addepalli, Samyak Jain, Venkatesh Babu R.
2022	J	`jnl`	Efficient and Effective Augmentation Strategy for Adversarial Training. CoRR Sravanti Addepalli, Samyak Jain, R. Venkatesh Babu
2022	J	`jnl`	Learning an Invertible Output Mapping Can Mitigate Simplicity Bias in Neural Networks. CoRR Sravanti Addepalli, Anshul Nasery, R. Venkatesh Babu, Praneeth Netrapalli, Prateek Jain
2022	—	`conf`	Scaling Adversarial Training to Large Perturbation Bounds. ECCV (5) Sravanti Addepalli, Samyak Jain, Gaurang Sriramanan, R. Venkatesh Babu
2022	J	`jnl`	Scaling Adversarial Training to Large Perturbation Bounds. CoRR Sravanti Addepalli, Samyak Jain, Gaurang Sriramanan, R. Venkatesh Babu
2022	A*	`conf`	Towards Data-Free Model Stealing in a Hard Label Setting. CVPR Sunandini Sanyal, Sravanti Addepalli, R. Venkatesh Babu
2022	J	`jnl`	Towards Data-Free Model Stealing in a Hard Label Setting. CoRR Sunandini Sanyal, Sravanti Addepalli, R. Venkatesh Babu
2022	J	`jnl`	Towards Efficient and Effective Self-Supervised Learning of Visual Representations. CoRR Sravanti Addepalli, Kaushal Bhogale, Priyam Dey, R. Venkatesh Babu
2022	—	`conf`	Towards Efficient and Effective Self-supervised Learning of Visual Representations. ECCV (31) Sravanti Addepalli, Kaushal Bhogale, Priyam Dey, R. Venkatesh Babu
2021	—	`conf`	Boosting Adversarial Robustness Using Feature Level Stochastic Smoothing. CVPR Workshops Sravanti Addepalli, Samyak Jain, Gaurang Sriramanan, R. Venkatesh Babu
2021	A*	`conf`	Towards Efficient and Effective Adversarial Training. NeurIPS Gaurang Sriramanan, Sravanti Addepalli, Arya Baburaj, Venkatesh Babu R.
2020	A*	`conf`	DeGAN: Data-Enriching GAN for Retrieving Representative Samples from a Trained Classifier. AAAI Sravanti Addepalli, Gaurav Kumar Nayak, Anirban Chakraborty, Venkatesh Babu Radhakrishnan
2020	A*	`conf`	Guided Adversarial Attack for Evaluating and Enhancing Adversarial Defenses. NeurIPS Gaurang Sriramanan, Sravanti Addepalli, Arya Baburaj, Venkatesh Babu R.
2020	J	`jnl`	Guided Adversarial Attack for Evaluating and Enhancing Adversarial Defenses. CoRR Gaurang Sriramanan, Sravanti Addepalli, Arya Baburaj, R. Venkatesh Babu
2020	B	`conf`	Saliency-Driven Class Impressions For Feature Visualization Of Deep Neural Networks. ICIP Sravanti Addepalli, Dipesh Tamboli, R. Venkatesh Babu, Biplab Banerjee
2020	J	`jnl`	Saliency-driven Class Impressions for Feature Visualization of Deep Neural Networks. CoRR Sravanti Addepalli, Dipesh Tamboli, R. Venkatesh Babu, Biplab Banerjee
2020	A*	`conf`	Towards Achieving Adversarial Robustness by Enforcing Feature Consistency Across Bit Planes. CVPR Sravanti Addepalli, Vivek B. S., Arya Baburaj, Gaurang Sriramanan, R. Venkatesh Babu
2020	J	`jnl`	Towards Achieving Adversarial Robustness by Enforcing Feature Consistency Across Bit Planes. CoRR Sravanti Addepalli, Vivek B. S., Arya Baburaj, Gaurang Sriramanan, R. Venkatesh Babu
2019	J	`jnl`	DeGAN : Data-Enriching GAN for Retrieving Representative Samples from a Trained Classifier. CoRR Sravanti Addepalli, Gaurav Kumar Nayak, Anirban Chakraborty, R. Venkatesh Babu
2013	—	`conf`	A 130.7mm ISSCC Tz-Yi Liu, Tian Hong Yan, Roy Scheuerlein, Yingchang Chen, Jeffrey KoonYee Lee, Gopinath Balakrishnan, Gordon Yee, Henry Zhang, Alex Yap, Jingwen Ouyang, Takahiko Sasaki, Sravanti Addepalli, Ali Al-Shamma, Chin-Yu Chen, Mayank Gupta, Greg Hilton, Saurabh Joshi, Achal Kathuria, Vincent Lai, Deep Masiwal, Masahide Matsumoto, Anurag Nigam, Anil Pai, Jayesh Pakhale, Chang Hua Siau, Xiaoxia Wu, Ronald Yin, Liping Peng, Jang Yong Kang, Sharon Huynh, Huijuan Wang, Nicolas Nagel, Yoichiro Tanaka, Masaaki Higashitani, Tim Minvielle, Chandu Gorla, Takayuki Tsukamoto, Takeshi Yamaguchi, Mutsumi Okajima, Takayuki Okamura, Satoru Takase, Takahiko Hara, Hirofumi Inoue, Luca Fasoli, Mehrdad Mofidi, Ritu Shrivastava, Khandker Quader